Based On The Planning And Running A Simulation Of Dynamic Intelligent Power Management System

Provinces in the country or in a grid management, is a large and complex systematicproject, it involves a wide range of many fields, related to all aspects of the localeconomy, life, production, environment, etc., are especially prominent on the economicfield. According to the actual operations of the current electricity supply demand relationsand power companies, to develop a targeted data processing and analysis of intelligentmanagement system, it is necessary, and it is an important part of strategic operations.The project (run simulations based on technical collaboration with dynamic powerplanning intelligent management system), Browser/Server architecture, software designinto the overall data services, business rules/data communication services, applicationservices layer structure, which can be easily extended software features. The modularsoftware design of distributed applications using the structure and function of theexpansion changes simply modify the corresponding software modules without affectingthe entire system.System function covers the entire workflow, network planning platform for networkplanning for digital planning system provides a visual means of expression to maintain thesource data management tools, analysis and calculation results can provide importantbasic services for scientific decision-making power grid planning programs. After thehigh-level application modules embedded into the power grid network planning geographicinformation systems, decision support systems can be constructed based on the integrationof GIS network planning.This article is for data processing and analysis system specifically designed for gridcompanies, including the size of ten modules. The core content of the actual use ofelectricity load analysis carried out, according to analysis of historical data, to predictfuture electricity usage analysis. In this paper, the main function of the system modules,database design, setting the operating authority of different users, and the system has asimple user interface, human-computer interaction to good effect. Data entry terms, query,modify, delete, import, and other functions can be good everywhere use to meet theelectricity employees to understand and predict the actual electricity demand analysisprovides a powerful data.